| Aod-net: All-in-one dehazing network B Li, X Peng, Z Wang, J Xu, D Feng Proceedings of the IEEE international conference on computer vision, 4770-4778, 2017 | 1344 | 2017 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ... Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017 | 1335 | 2017 |
| Benchmarking single-image dehazing and beyond B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang IEEE Transactions on Image Processing 28 (1), 492-505, 2018 | 1156* | 2018 |
| Unitbox: An advanced object detection network J Yu, Y Jiang, Z Wang, Z Cao, T Huang Proceedings of the 24th ACM international conference on Multimedia, 516-520, 2016 | 1004 | 2016 |
| EnlightenGAN: Deep light enhancement without paired supervision Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ... IEEE Transactions on Image Processing (TIP), 2020 | 858 | 2020 |
| Graph Contrastive Learning with Augmentations Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen Advances in Neural Information Processing Systems (NeurIPS), 2020 | 853 | 2020 |
| DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better O Kupyn, T Martyniuk, J Wu, Z Wang IEEE International Conference on Computer Vision (ICCV), 2019 | 682 | 2019 |
| ABD-Net: Attentive but Diverse Person Re-Identification T Chen, S Ding, J Xie, Y Yuan, W Chen, Y Yang, Z Ren, Z Wang IEEE International Conference on Computer Vision (ICCV), 2019 | 444 | 2019 |
| TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Y Jiang, S Chang, Z Wang Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 367 | 2021 |
| Can we gain more from orthogonality regularizations in training deep networks? N Bansal, X Chen, Z Wang Advances in Neural Information Processing Systems 31, 2018 | 282 | 2018 |
| DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks M Karimi, D Wu, Z Wang, Y Shen Bioinformatics 35 (18), 3329-3338, 2019 | 269 | 2019 |
| Studying very low resolution recognition using deep networks Z Wang, S Chang, Y Yang, D Liu, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 263 | 2016 |
| Plug-and-Play Methods Provably Converge with Properly Trained Denoisers EK Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin International Conference on Machine Learning (ICML), 2019 | 240 | 2019 |
| AutoGAN: Neural architecture search for generative adversarial networks X Gong, S Chang, Y Jiang, Z Wang Proceedings of the IEEE International Conference on Computer Vision, 3224-3234, 2019 | 238 | 2019 |
| Single Image Deraining: A Comprehensive Benchmark Analysis S Li, IB Araujo, W Ren, Z Wang, EK Tokuda, RH Junior, R Cesar-Junior, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 230 | 2019 |
| Robust video super-resolution with learned temporal dynamics D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, T Huang Proceedings of the IEEE International Conference on Computer Vision, 2507-2515, 2017 | 226 | 2017 |
| The lottery ticket hypothesis for pre-trained bert networks T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin Advances in Neural Information Processing Systems (NeurIPS), 2020 | 222 | 2020 |
| D3: Deep dual-domain based fast restoration of jpeg-compressed images Z Wang, D Liu, S Chang, Q Ling, Y Yang, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 212 | 2016 |
| Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds X Chen, J Liu, Z Wang, W Yin In Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018 | 203 | 2018 |
| When image denoising meets high-level vision tasks: A deep learning approach D Liu, B Wen, X Liu, Z Wang, T Huang International Joint Conferences on Artificial Intelligence (IJCAI), 2018 | 196 | 2018 |
Shiyu ChangUniversity of California, Santa Barbara在 cs.ucsb.edu 的電子郵件地址已通過驗證
